Publications

Dynamic task-based parallelism has become a widely-accepted paradigm in the quest for exascale computing. In this work, we deliver a…

The problem of elephant flow detection is a longstanding research area with the goal of quickly identifying flows in a…

A system can generate and impose constraints on a compiler/scheduler so as to specifically minimize the footprints of one or…

A compilation system can compile a program to be executed using an event driven tasks (EDT) system that requires knowledge…

A signal pre-compensation system analyzes one or more properties of a communication medium and, taking advantage of the locality of…

We present streaming CP update, an algorithmic framework for updating CP tensor decompositions that possesses the capability of identifying emerging…

Multiresolution priority queues are data structures recently discovered by Reservoir Labs that reduce the entropy of some critical graph algorithms—such…

As the scale of unlabeled data rises, it becomes increasingly valuable to perform scalable, unsupervised data analysis. Tensor decompositions, which…

In this paper we introduce a new framework to detect elephant flows at very high speed rates and under uncertainty.…